Definition
Bayesian analysis of electrophysiological data refers to the statistical processing of data obtained in electrophysiological experiments (i.e., recordings of action potentials or voltage measurements with electrodes or imaging devices) which utilizes methods from Bayesian statistics. Bayesian statistics is a framework for describing and modeling empirical data using the mathematical language of probability to model uncertainty. Bayesian statistics provides a principled and exible framework for combining empirical observations with prior knowledge and for quantifying uncertainty. These features are especially useful for analysis questions in which the dataset sizes are small in comparison to the complexity of the model, which is often the case in neurophysiological data analysis.
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The Bayesian approach to statistics has become an established framework for analysis of...
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Bassetto, G., Macke, J.H. (2020). Electrophysiology Analysis, Bayesian. In: Jaeger, D., Jung, R. (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7320-6_448-2
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DOI: https://doi.org/10.1007/978-1-4614-7320-6_448-2
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Latest
Electrophysiology Analysis, Bayesian- Published:
- 18 April 2020
DOI: https://doi.org/10.1007/978-1-4614-7320-6_448-2
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Original
Electrophysiology Analysis, Bayesian- Published:
- 21 March 2014
DOI: https://doi.org/10.1007/978-1-4614-7320-6_448-1